private static void triangular_sample_test() //****************************************************************************80 // // Purpose: // // TRIANGULAR_SAMPLE_TEST tests TRIANGULAR_SAMPLE. // // Licensing: // // This code is distributed under the GNU LGPL license. // // Modified: // // 24 January 2007 // // Author: // // John Burkardt // { const int SAMPLE_NUM = 1000; int i; int seed = 123456789; double[] x = new double [SAMPLE_NUM]; Console.WriteLine(""); Console.WriteLine("TRIANGULAR_SAMPLE_TEST"); Console.WriteLine(" TRIANGULAR_MEAN computes the Triangular mean;"); Console.WriteLine(" TRIANGULAR_SAMPLE samples the Triangular distribution;"); Console.WriteLine(" TRIANGULAR_VARIANCE computes the Triangular variance;"); double a = 1.0; double b = 10.0; Console.WriteLine(""); Console.WriteLine(" PDF parameter A = " + a + ""); Console.WriteLine(" PDF parameter B = " + b + ""); if (!Triangular.triangular_check(a, b)) { Console.WriteLine(""); Console.WriteLine("TRIANGULAR_SAMPLE_TEST - Fatal error!"); Console.WriteLine(" The parameters are not legal."); return; } double mean = Triangular.triangular_mean(a, b); double variance = Triangular.triangular_variance(a, b); Console.WriteLine(""); Console.WriteLine(" PDF mean = " + mean + ""); Console.WriteLine(" PDF variance = " + variance + ""); for (i = 0; i < SAMPLE_NUM; i++) { x[i] = Triangular.triangular_sample(a, b, ref seed); } mean = typeMethods.r8vec_mean(SAMPLE_NUM, x); variance = typeMethods.r8vec_variance(SAMPLE_NUM, x); double xmax = typeMethods.r8vec_max(SAMPLE_NUM, x); double xmin = typeMethods.r8vec_min(SAMPLE_NUM, x); Console.WriteLine(""); Console.WriteLine(" Sample size = " + SAMPLE_NUM + ""); Console.WriteLine(" Sample mean = " + mean + ""); Console.WriteLine(" Sample variance = " + variance + ""); Console.WriteLine(" Sample maximum = " + xmax + ""); Console.WriteLine(" Sample minimum = " + xmin + ""); }